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Determining the State of Cardiovascular System Using Non-invasive Multichannel Photoplethysmography

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Abstract

The cardiovascular system is one of the most important system in human body and it is necessary to oversee its right function. Clinicians would benefit from the evaluation of the state of the cardiovascular system without using invasive entrance and to have information about state of all main parts of cardiovascular system. Pulse wave measurement could be one possibility of how to noninvasively evaluate the state of cardiovascular system and its individual parts. The paper introduces methodology of pulse wave measurement from several sites on the human body and the ECG signal simultaneously. Hardware and software materials developed for the solution are described and preliminary results are presented.

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Acknowledgments

This article has been supported by financial support of TA ČR PRE SEED: TG01010137 GAMA PP1. The work and the contributions were supported by the project SP2015/179 ‘Biomedicínské inženýrské systémy XI’ and This work is partially supported by the Science and Research Fund 2014 of the Moravia-Silesian Region, Czech Republic and this paper has been elaborated in the framework of the project “Support research and development in the Moravian-Silesian Region 2014 DT 1 - Research Teams” (RRC/07/2014). Financed from the budget of the Moravian-Silesian Region.

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Correspondence to Lukas Peter .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Peter, L., Vorek, I., Massot, B., Kubicek, J. (2016). Determining the State of Cardiovascular System Using Non-invasive Multichannel Photoplethysmography. In: Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications. ICCASA 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29236-6_38

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  • DOI: https://doi.org/10.1007/978-3-319-29236-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29235-9

  • Online ISBN: 978-3-319-29236-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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